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Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
Have airdrops planned?
Could you please clarify your question?Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
is there a longer whitepaper version
Hi! Our official English whitepaper from 10.30.2017 has 29 pages. It's full version for now. We will release a new version of whitepaper soon, it will have some additional illustrations.Do you think provided information is not enough? What else do you think we should have included in our whitepaper?
Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
My Wife she really wants to learn to be a good trader so interaction of AI with other live statistics could be very useful for her to hone her trading skills. So the minimum investment in the PRESALE is 100 USD am I correct? I look forward to reading more on the project in my spare time and making a good due diligence for our future investment portfolio.
Hi! We have cancellated bottom limits of pre-sale. Feel free to ask any other questions!Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
At old thread illiki23 left several responses so I asked our CTO Alexander Gandzha to comment it. So here are his replies.
Deep learning is really hot right now and has a lot of potential though has its downfalls such as model interpretability given the complexity of the resulting models and takes a lot of training data before you get decent classification and prediction accuracy.
We agree that you will definitely need to analyze more than the history of price movement. Algorithmic traders moved beyond price history analysis decades ago and to keep up you will have to as well. The efficient market hypothesis is somewhat relevant. Feature generation is one of the most critical parts of the data mining process as it leads to more information (you can have an awesome machine learning algorithm which fails to produce good results if given the wrong features). Lately I have seen people on the crypto scene using GitHub indicators (for example if a project posts an update), detecting trends in sentiment on Twitter and in forum threads, and so on. To get an advantage you want to be a first mover and use features others aren't or use them in a new way. One critical feature involves 'shilling detection' as the detection of shilling would make some features irrelevant.
For classification (such as classifying a price increase as a pump or natural growth or classifying coins into 'winners' and 'losers') I would really like to see 'gradient boosted decision tree induction' as one of the available classification algorithms. It is really neat and has replaced random forests as my favorite. It deals with things like overfitting rather well though has a number of benefits which will help when classifying new unknowns. As for numeric time series prediction make sure you give due diligence to recurrent networks. They 'remember' thus can find patterns within long sequences of temporal data.
In DataTrading system we try our best to move away from the classical technical indicators, especially those in which you need to adjust the parameters. Instead, our team is using machine learning algorithms. On the one hand, we focus on neural networks, but we also know how to work with other machine learning algorithms. We plan to provide complete list of machine learning algorithms with simple and understandable interface for using them in the final product of DataTrading.We agree that you will definitely need to analyze more than the history of price movement. Algorithmic traders moved beyond price history analysis decades ago and to keep up you will have to as well. The efficient market hypothesis is somewhat relevant. Feature generation is one of the most critical parts of the data mining process as it leads to more information (you can have an awesome machine learning algorithm which fails to produce good results if given the wrong features). Lately I have seen people on the crypto scene using GitHub indicators (for example if a project posts an update), detecting trends in sentiment on Twitter and in forum threads, and so on. To get an advantage you want to be a first mover and use features others aren't or use them in a new way. One critical feature involves 'shilling detection' as the detection of shilling would make some features irrelevant.
For classification (such as classifying a price increase as a pump or natural growth or classifying coins into 'winners' and 'losers') I would really like to see 'gradient boosted decision tree induction' as one of the available classification algorithms. It is really neat and has replaced random forests as my favorite. It deals with things like overfitting rather well though has a number of benefits which will help when classifying new unknowns. As for numeric time series prediction make sure you give due diligence to recurrent networks. They 'remember' thus can find patterns within long sequences of temporal data.
I see you address some of these things in the whitepaper. LSTM cells would be great! I do have a few concerns about the scope and feasibility of the project. As it is machine learning and AI is used extensively in algorithmic trading and adapts rather fast. You need to construct a platform which allows for quick adaptation.
We are developing a model, which is capable of self-learning. Currently our team is working on the criteria for the assessment of model's learning quality with possible settings for its optimization. Thus, the flexibility of the model and the adjustment to the trader's tasks will not require a deep understanding of the learning process and will also allow the trader to adapt model to his needs quickly and independently.On a side note - it would be really neat to incentivize hand labeling and tagging of data points. One problems with machine learning is a lack of labeled training data. I like unsupervised and semi supervised learning but supervised learning is just so powerful. Tokens could be provided to people though you would want to establish some sort of expert ranking based on how accurate they are.
Yes, we agree, lack of labeled training data may be a problem in machine learning. We've setup automatic data labeling according to our profit function. We also make automatic clusterization that does not need labeling.Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
How to find more information on the project??
any prototype model??
Hi, here is DataTrading screener demo. We just published it. We will add some tutorial to it in few days, so follow our news. any prototype model??
Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
Usage of artificial intelligence is increasing in everything. These projects have future because digital currencies are becoming part of everyday trading. Forecasting will be based on facts more than just pump and dumps which are happening right now. I see this project as good addition in the space of crypto trading with artificial intelligence usage. I will read and watch for more later.
Thank you for interesting in DataTrading project. Yes, we are huge fans of machine learning and neural networks. In few days we will present our MVP/Demo so everyone can ensure that we are not scam and have real technology and expertise how to work with it. We are planing to constantly update our Demo and release new promo materials, so if you want you can subscribe for our news at DataTrading site.Please ask any questions we will gladly answer it.
Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
Re: [ANN][DTT]🔺ICO DataTrading - trade forecasting by artificial intelligence 🔺📈
We have an old topic and i want to ask some question from there here
zckeles
zckeles
Quote
pre ico and ico price is same 0.1 usd
Yes, but bonus is different. On pre-sale every pre-sale participant will get 30% bonus, on main token sale (there will be two rounds) there will be from 5% to 20% bonus. So on pre-sale for 100$ you'll get 1300 DTT, on token sale for 100$ you'll get from 1000 to 1200 DTT
Re: [ANN] [DTT] DataTrading - trade forecasting by artificial intelligence
verb
Yes, I agree, there are other good project that try to forecast stock markets, but as l know none of them use artificial intelligence. If I am wrong, please name such project.
And yes, I'm agree with rijaljun, competition is good for market: it makes products better and cheaper.
Yes, I agree, there are other good project that try to forecast stock markets, but as l know none of them use artificial intelligence. If I am wrong, please name such project.
And yes, I'm agree with rijaljun, competition is good for market: it makes products better and cheaper.
Re: [ANN] [DTT] DataTrading - trade forecasting by artificial intelligence
rijaljun
Yes, our team is working on this project for two years. We have developed a module for analysis of the market of CO2 quotas and has integrated it as a plug-in for Bloomberg Terminal.
Now we are building a universal platform that can forecast any market (for example, stock exchange or cryptocurrencies exchange). And moreover, we don't want just to develop that platform, we want that everyone can develop it's own models of machine learning on this platform (we call it 'open constructor of machine learning' that will be an essential part of our platform), so not just our expertise will make value of a platform forecasting, but anyone who is expert in machine learning an AI.
Yes, our team is working on this project for two years. We have developed a module for analysis of the market of CO2 quotas and has integrated it as a plug-in for Bloomberg Terminal.
Now we are building a universal platform that can forecast any market (for example, stock exchange or cryptocurrencies exchange). And moreover, we don't want just to develop that platform, we want that everyone can develop it's own models of machine learning on this platform (we call it 'open constructor of machine learning' that will be an essential part of our platform), so not just our expertise will make value of a platform forecasting, but anyone who is expert in machine learning an AI.
Re: [ANN] [DTT] DataTrading - trade forecasting by artificial intelligence
Hi! Thank you for interesting in our platform. We are preparing a whitepaper and other promo-materials it will be available in a week.
To be short. We'll use different types of machine learning: artificial neural networks, deep learning, data mining, etc. We will analyse not only history of price movement, but also a hole bunch of other parameters for fundamental analysis.
If you like you can check our site: www.data-trading.com
It's in development now, in a week it will be updated with whitepaper and other materials.
To be short. We'll use different types of machine learning: artificial neural networks, deep learning, data mining, etc. We will analyse not only history of price movement, but also a hole bunch of other parameters for fundamental analysis.
If you like you can check our site: www.data-trading.com
It's in development now, in a week it will be updated with whitepaper and other materials.